Mac mini (2024)
Geekbench AI Score
5656
Single Precision Score
9182
Half Precision Score
7079
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gaurav17p |
| Upload Date | December 10 2025 01:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3864
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17101
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33796
39.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25922
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
97% |
3851
306.6 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
8294
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8759
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14665
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9640
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29997
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56233
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43269
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9285
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5383
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5376
92.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9032
156.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9009
155.7 IPS |
